Data Science & ML Ops Engineer / SF Bay Area ONLY (San Leandro Preferably)

Overview

On Site
Depends on Experience
Contract - W2
Contract - 8 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Web Services
Apache Spark
Continuous Delivery
Continuous Integration
Microsoft Azure
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Docker
Good Clinical Practice
Google Cloud Platform
Kubernetes

Job Details

Job Title: Data Science & ML Ops Engineer
Location: SF Bay Area, CA (Onsite Day 1 – San Leandro preferred)
Employment Type: Contract (C2C)

Job Overview

The Tachyon Predictive AI team is seeking a Data Science & ML Ops Engineer to support the end-to-end lifecycle of machine learning solutions. This role blends data science, ML engineering, and cloud-based MLOps, focusing on scalable model development, deployment, and monitoring.

Candidates with experience working as both a Data Scientist and ML Engineer are ideal. Strong ML Engineers with good data science exposure will also be considered.

Key Responsibilities

  • Build predictive ML models using structured and unstructured data across multiple business domains

  • Develop and manage ML pipelines using MLflow, Kubeflow, or Vertex AI

  • Automate model training, deployment, monitoring, and retraining in cloud environments (Google Cloud Platform/Azure/AWS)

  • Leverage AutoML tools such as Vertex AI AutoML or H2O Driverless AI

  • Implement CI/CD workflows for ML lifecycle management

  • Monitor model performance, governance, and explainability

  • Collaborate with engineering teams to deploy containerized models and APIs

Required Skills & Qualifications

  • Strong experience with Python, SQL, Spark, and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch)

  • Hands-on experience with MLOps practices and cloud platforms (Google Cloud Platform or Azure preferred)

  • Experience with Docker, Kubernetes, and data orchestration tools (Airflow)

  • Solid understanding of software engineering and DevOps principles

  • Excellent communication and stakeholder collaboration skills

Location Requirement

  • SF Bay Area ONLY (Onsite from Day 1)

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